Topic 2.2.33 min read
2.2.3 Efficiency
Efficiency refers to how well an algorithm uses computer resources, such as time and memory. It is often expressed using Big O notation (e.g., O(n), O(log n), O(n^2)). Time Complexity: Measures the execution time of an algorithm with respect to the size of input. Space Complexity: Measures t
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2.2.3 Efficiency
What is it?
Efficiency refers to how well an algorithm uses computer resources, such as time and memory. It is often expressed using Big O notation (e.g., O(n), O(log n), O(n^2)). Time Complexity: Measures the execution time of an algorithm with respect to the size of input. Space Complexity: Measures t
In simple words
2.2.3 Efficiency is a core idea in this chapter. Learn the meaning first, then the main parts, then one clear example.
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Full school-level explanation
Efficiency refers to how well an algorithm uses computer resources, such as time and memory. It is often expressed using Big O notation (e.g., O(n), O(log n), O(n^2)). Time Complexity: Measures the execution time of an algorithm with respect to the size of input. Space Complexity: Measures t
Why it matters
Understanding 2.2.3 Efficiency helps you answer definition, explanation, and application questions in this chapter.
Deeper understanding
Go deeper on 2.2.3 Efficiency: connect the definition to reasons, relationships, exceptions, and exam wording.
Exam focus
Key Point 1
Key Point 2
Key Point 3
Key Point 4
Exam focus
Quick revision
- Efficiency refers to how well an algorithm uses computer resources, such as time and memory. It is often expressed using
For long answers on 2.2.3 Efficiency: define clearly → explain the main parts → give one example → state one exam caution.
Exam Focus
Exam Focus
Important points
- Efficiency refers to how well an algorithm uses computer resources, such as time and memory. It is often expressed using
Common exam traps
- Do not write about 2.2.3 Efficiency without a clear definition.
- Do not mix this idea with a neighbouring chapter concept.
Long question structure
Definition → key parts → example → exam caution
Common Mistakes
Common Mistakes
- Mistake
Do not write about 2.2.3 Efficiency without a clear definition.
- Mistake
Do not mix this idea with a neighbouring chapter concept.
- Mistake
Do not list facts without showing how they connect.
Revision Zone
60-Second Revision
Quick cues from this topic — use them for last-minute revision.
Efficiency refers to how well an algorithm uses computer resources, such as time and memory. It is often expressed using
Efficiency refers to how well an algorithm uses computer resources, such as time and memory. It is often expressed using Big O notation (e.g., O(n), O(log n), O
- Definition
- Efficiency refers to how well an algorithm uses computer resources, such as time and memory. It is often expressed using Big O notation (e.g., O(n), O(log n), O
- Critical warning
- Do not write about 2.2.3 Efficiency without a clear definition.
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Exam Practice
Define
Q1. Define 2.2.3 Efficiency.
Explain
Q2. Explain the main ideas in 2.2.3 Efficiency.
Example
Q3. Give one clear example of 2.2.3 Efficiency and say why it fits.
Mistake
Q4. State one common mistake students make about 2.2.3 Efficiency.
Exam note
Q5. Write a short exam note on 2.2.3 Efficiency: definition, two points, one example.
Sources & References
School-standard facts for Matric and Intermediate. Original explanations — not copied from textbooks.